Chase Rewards, Senior Associate

If you enjoy creative problem solving, are highly analytical, and are skilled at building momentum around meaningful work, this is the role for you.

As a Senior Associate driving end-to-end data ingestion for the Rewards Data Ingestion Platform, you will translate complex business and technical needs into actionable ingestion strategies (including opportunities to incorporate emerging AI capabilities), prioritized backlogs, and clear delivery plans.

You will partner closely with engineering, data engineering, analytics, and risk and control stakeholders to onboard and integrate data sources while establishing durable data contracts, quality controls, and SLAs.

You will play a key role in improving reliability, transparency, and time-to-onboard so rewards capabilities can be delivered faster with stronger customer outcomes.

Job Responsibilities


* Lead end-to-end onboarding for new and existing source systems that support rewards use cases, from intake through production cutover and stabilization.


* Define and maintain data contracts, schema standards, and change management processes to reduce downstream breakage and improve interoperability.


* Produce clear product and delivery artifacts, including requirements, epics, user stories, acceptance criteria, and release notes that support predictable execution.


* Establish and operationalize data quality controls, including validation rules, reconciliation routines, exception handling, and defect triage workflows.


* Define, monitor, and continuously improve SLAs/SLOs for data timeliness, completeness, accuracy, and availability, and drive remediation when targets are missed.


* Implement lineage, metadata, and documentation practices that improve traceability and audit readiness across the ingestion lifecycle.


* Partner with governance, privacy, and risk/compliance stakeholders to ensure appropriate data classification, retention, access controls, and policy adherence.


* Drive observability requirements, including pipeline monitoring, alerting, dashboarding, and runbooks, to reduce mean time to detect and resolve issues.


* Manage and prioritize the ingestion backlog using value, risk reduction, and dependency-aware sequencing, aligning stakeholders on scope and timelines.


* Coordinate cross-functional delivery across product, engineering, analytics, operations, and control partners, proactively managing dependencies and blockers to source integration design using Kafka-based, event-driven ingestion patterns in partnership with engineering and data engineering.


* Track and report delivery and operational metrics (e.g., time-to-onboard, incident rates, SLA attainment) and lead continuous improvement initiatives.

Required Qualifications, Capabilities, and Skills


* 3+ years of experience (or equivalent expertise) in product management, data platform delivery, or a related domain with measurable delivery outcomes.


* Demonstrated ability t...